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Regression model

HAR-RV-modellen for realiseret volatilitet

HAR-RV-modellen, introduceret af Fulvio Corsi i 2009, forudsiger realiseret volatilitet ved at dekomponere den i daglige, ugentlige og månedlige komponenter. Det er en simpel lineær regression, der afspejler, hvordan markedsdeltagere med forskellige investeringshorisonter reagerer på volatilitet, og den indfanger naturligt volatilitetens langtidshukommelsesadfærd.

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  1. Corsi, F. (2009). A Simple Approximate Long-Memory Model of Realized Volatility. Journal of Financial Econometrics, 7(2), 174–196. DOI: 10.1093/jjfinec/nbp001

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ScholarGate. (2026, June 1). Heterogeneous Autoregressive Model of Realized Volatility. ScholarGate. https://scholargate.app/da/finance/har-rv-model

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ScholarGateHAR-RV Model (Heterogeneous Autoregressive Model of Realized Volatility). Hentet 2026-06-15 fra https://scholargate.app/da/finance/har-rv-model · Datasæt: https://doi.org/10.5281/zenodo.20539026